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ORCIDT. Y. Alvin Liu
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2020 – today
- 2024
[j3]Jane J. Huang
, Roomasa Channa, Risa M. Wolf, Yiwen Dong, Mavis Liang, Jiangxia Wang, Michael D. Abràmoff, T. Y. Alvin Liu:
Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations. npj Digit. Medicine 7(1) (2024)- [j2]Jane J. Huang, Roomasa Channa, Risa M. Wolf, Yiwen Dong, Mavis Liang, Jiangxia Wang, Michael D. Abràmoff, T. Y. Alvin Liu:
Author Correction: Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations. npj Digit. Medicine 7(1) (2024) - 2021
- [i1]Haomin Chen, T. Y. Alvin Liu, Catalina Gomez, Zelia Correa, Mathias Unberath:
An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images. CoRR abs/2108.06246 (2021) - 2020
- [c2]Haomin Chen, T. Y. Alvin Liu, Zelia Correa, Mathias Unberath:
An Interactive Approach to Region of Interest Selection in Cytologic Analysis of Uveal Melanoma Based on Unsupervised Clustering. OMIA@MICCAI 2020: 114-124
2010 – 2019
- 2019
- [j1]Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina:
Deep learning based retinal OCT segmentation. Comput. Biol. Medicine 114 (2019) - 2018
- [c1]Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina:
OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops 2018: 316-322
Coauthor Index
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